In an exclusive interview with Dataquest, Rohra shares invaluable insights into the evolving landscape of data challenges and how Hitachi Vantara is not only addressing these hurdles but also spearheading initiatives to minimize the ecological footprint of data infrastructure.
From the omnipresent issue of data silos to the burgeoning demand for sustainable practices in data management, the spectrum of challenges is vast and varied. However, amidst these challenges lies a beacon of hope in the form of innovative solutions engineered by Hitachi Vantara. Excerpts:
What are the data challenges you are hearing about from your customers?
From our interactions with customers, we're consistently hearing about a range of data challenges. These include difficulties in accessing and effectively utilizing their data, as well as concerns about managing data silos and complexity within their organizations. There's a clear desire for solutions that not only streamline operations but also drive innovation and provide a competitive edge. Additionally, sustainability has become a significant focus, with customers expressing interest in reducing their environmental footprint through energy-efficient data solutions.
At Hitachi Vantara, we're committed to addressing these challenges by offering unified data solutions that empower our customers to make better decisions, enhance efficiency, and achieve their sustainability goals. What sets us apart is our forward-looking mindset with the incorporation of cutting-edge technologies like AI, along with our dedication to sustainability through green IT practices. With our end-to-end expertise, capabilities, and services, we not only help our customers meet their sustainability targets but also simplify operations, cut down on complexity across the organization, and encourage innovation for a competitive advantage. Together, we are powering good for people and the planet.
Diese Geschichte stammt aus der March 2024-Ausgabe von DataQuest.
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Diese Geschichte stammt aus der March 2024-Ausgabe von DataQuest.
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